期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B1
页码：189-196
出版社：Copernicus Publications
摘要：LiDAR technology, the primary source of highly accurate surface data at large scale, has seen remarkable developments in recent years. Specifically, the accuracy of the laser ranging has reached the few cm level for hard surfaces, close to static survey performance, and the point density has increased significantly, as a result of higher pulse rates, such as 150 kHz PRF for multipulse LiDAR systems. The high ranging accuracy of the laser sensor also means that the overall accuracy of the point cloud is now predominantly determined by the quality of the navigation solution (typically based on GPS/IMU sensor integration), which is also advancing. All these developments allow for better surface representation in terms of denser point cloud with highly accurate point coordinates. Furthermore, because of the increased point density, the horizontal accuracy has become an equally important part of the product characterization. In parallel to these developments, the demand for better QA/QC is also growing, and now the characterization of the LiDAR products includes the horizontal accuracy. Except for relative measures, there is no reliable way to assess the positioning quality of the data captured by any imaging sensor system, which is based on direct georeferencing, and therefore, using some ground control is almost mandatory if high accuracy is required. This paper introduces a method to use road pavement marking as ground control that could be used for QA/QC. These linear features are widely available in urban areas and along transportation corridors, where most of the government and commercial mapping takes place, and an additional advantage of using pavement markings is that they can be quickly surveyed with various GPS echnique (RTK, VRS, post-processed
